Concept | Collaboration in Dataiku

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Let’s say you’re inviting a colleague to work on a project where there are already several collaborators. Your colleague may want to identify the project’s name, purpose, and status, or they may want to read through a wiki that introduces the project. They might also be interested in searching for certain elements in the project. Dataiku provides various tools, such as wikis, tags, discussions, to-do lists, and dashboards that allow for effective collaboration on a team.

There are steps you can take to prepare a project for collaboration. Starting with naming, you would want to adopt a naming convention that uses short, simple titles and descriptions to tell everyone the project’s purpose. You’ll also want to choose a dataset naming convention that is both compatible and readable.

Another good practice for effective collaboration is to add a project wiki (using markdown) that team members can access from the project’s homepage.

In addition, you can use searchable tags on all elements of a project and in the Flow. Using tags helps to identify parts of the Flow easily.

There are also discussions, which are useful for starting quick conversations, asking questions, or making comments. Your discussions are preserved right within the project!

A Dataiku screenshot showing discussions on a project's homepage.

Finally, you’ll want to create dashboards, particularly for read-only users. Dashboards are a great way to collaborate and share with your team!

Learn More

In this lesson, you learned about ways to collaborate with others on a Dataiku project. Continue getting to know the basics of Dataiku by learning about projects.